Trade

sell - 1000BONK

Status
win
2025-06-20 23:36:41
28 minutes
PNL
0.58
Entry: 0.01379
Last: 0.01371000

Results

Status:
win
Trade Type:
sell
Prediction Score: -0.125
Prediction 1 Probability
Weak Trade
0.65
Prediction 2 Probability
0 0.43
Prediction 3 Probability
n/a
ML Trade Score: 110
ML Pullback Score: 6

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.19
  4. atr: 3.254582296E-5
Details
  1. score: 1.19
  2. 1H
  3. ema9 - 0.0136687
  4. ema21 - 0.0138025
  5. ema50 - 0.0139791
  6. ema100 - 0.014157
  7. price_ema9_diff - 0.00858063
  8. ema9_ema21_diff - -0.00969546
  9. ema21_ema50_diff - -0.0126351
  10. price_ema100_diff - -0.0262098
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.47304
  14. kc_percentage - 0.49188
  15. kc_width_percentage - 0.0575973
  16. volume_ema_diff - -0.431816
  17. volume_ema1 - 166588.44410085
  18. volume_ema2 - 293194.5481083
  19. ¸
  20. 15m
  21. ema9 - 0.0136919
  22. ema21 - 0.0136407
  23. ema50 - 0.0137009
  24. ema100 - 0.0138485
  25. price_ema9_diff - 0.00686943
  26. ema9_ema21_diff - 0.00375261
  27. ema21_ema50_diff - -0.00439561
  28. price_ema100_diff - -0.00451712
  29. all_emas_in_trend - False
  30. all_emas_and_price_in_trend - False
  31. rsi - 0.622521
  32. kc_percentage - 0.992709
  33. kc_width_percentage - 0.0211631
  34. volume_ema_diff - -0.411419
  35. volume_ema1 - 38792.386309379
  36. volume_ema2 - 65908.346705695
  37. ¸
  38. 5m
  39. ema9 - 0.0137388
  40. ema21 - 0.0136958
  41. ema50 - 0.0136343
  42. ema100 - 0.0135819
  43. price_ema9_diff - 0.00343411
  44. ema9_ema21_diff - 0.00313896
  45. ema21_ema50_diff - 0.00451242
  46. price_ema100_diff - 0.0150258
  47. all_emas_in_trend - True
  48. all_emas_and_price_in_trend - True
  49. rsi - 0.693587
  50. kc_percentage - 1.18946
  51. kc_width_percentage - 0.00916681
  52. volume_ema_diff - 0.0827108
  53. volume_ema1 - 15058.294622642
  54. volume_ema2 - 13907.955745792
  55. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 103313
  59. 5m_price_ema100_diff: 0.00286669
  60. 5m_price: 103610
  61. 5m_correlation_with_coin: 0.717251
  62. btc_indicators
  63. 15m_ema100: 104005
  64. 15m_price_ema100_diff: -0.00379837
  65. 15m_price: 103610
  66. btc_indicators
  67. 1H_ema100: 104854
  68. 1H_price_ema100_diff: -0.011865
  69. 1H_price: 103610
  70. ¸

Short Trade on 1000BONK

The 20 Jun 2025 at 23:36:41

With 163871.5156 1000BONK at 0.01379$ per unit.

Position size of 2259.1327 $

Take profit at 0.01371 (0.58 %) and Stop Loss at 0.01383 (0.29 %)

That's a 2 RR Trade

📌 Similar Trades

Similar Trade Score: 63.18 %

Symbol Start at Seach Score Trade Score Trades Count
FLOKI 2025-06-20 23:36:02 0.9943 90 1
1000000MOG 2025-06-20 23:39:12 0.9898 90 1
ZRO 2025-06-20 23:41:41 0.9848 70 2
AVAX 2025-06-20 23:38:03 0.9881 55 2
JUP 2025-06-20 23:37:09 0.9851 40 1
SUI 2025-06-20 23:36:17 0.9844 60 1
NEAR 2025-06-20 23:34:07 0.9831 100 1
XLM 2025-06-20 23:33:25 0.9819 40 1
OM 2025-06-20 23:37:28 0.981 40 1
BTC 2025-06-20 23:31:38 0.9803 60 1
POL 2025-06-20 23:46:26 0.9786 50 1

📌 Time Data

Start at Closed at Duration
20 Jun 2025
23:36:41
21 Jun 2025
00:05:00
28 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.01379 0.01383 0.01371 2 0.02318
Details
Click the "Sign Up" button in the top right corner and follow the registration process.

Pour calculer le Risk-Reward Ratio (RRR) sur un trade short, on utilise la formule :

RRR = Distance jusqu'au Take Profit ÷ Distance jusqu'au Stop Loss

Détails du trade:

  • Entry 0.01379
  • Stop Loss: 0.01383
  • Take Profit: 0.01371

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.01383 - 0.01379 = 4.0E-5

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.01379 - 0.01371 = 8.0E-5

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 8.0E-5 / 4.0E-5 = 2

📌 Position Size

Amount Margin Quantity Leverage
2259.1327 100 163871.5156 22.59
Details

1. Déterminer le montant risqué sur ce trade

Risk Amount = Capital x Risk per trade

Paramètres:

  • Account Size 100
  • Risk per trade 8 %

Risk Amount = 100 x 0.08 = 8

Donc, tu es prêt à perdre 8$ maximum sur ce trade

2. Calcul Risk per Share / Nombre d'unité à acheter

Taille de position = Risk Amount / Distance Stop Loss

Taille de position USD = Taille de position x Entry Price

Paramètres:

  • Risk Amount 8
  • Distance Stop Loss 4.0E-5

Taille de position = 8 / 4.0E-5 = 200000

Taille de position USD = 200000 x 0.01379 = 2758

Donc, tu peux acheter 200000 avec un stoploss a 0.01383

Avec un position size USD de 2758$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 200000 x 4.0E-5 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 200000 x 8.0E-5 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 200000
  • Taille de position USD 2758
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.58 % 13.11 $
SL % Target SL $ Target
0.29 % 6.55 $
PNL PNL %
13.11 $ 0.58
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.01371
            [stop_loss] => 0.01383
            [rr_ratio] => 2
            [closed_at] => 2025-06-21 00:05:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.01369
            [stop_loss] => 0.01383
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-21 00:45:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.01367
            [stop_loss] => 0.01383
            [rr_ratio] => 3
            [closed_at] => 2025-06-21 01:10:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.01365
            [stop_loss] => 0.01383
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-21 02:30:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.01363
            [stop_loss] => 0.01383
            [rr_ratio] => 4
            [closed_at] => 2025-06-21 02:35:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.01361
            [stop_loss] => 0.01383
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-21 03:00:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.01359
            [stop_loss] => 0.01383
            [rr_ratio] => 5
            [closed_at] => 2025-06-21 03:05:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.01357
            [stop_loss] => 0.01383
            [rr_ratio] => 5.5
            [closed_at] => 2025-06-21 03:05:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.000129
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 0.01377000
            [low] => 0.01366100
            [mfe_pct] => 0.94
            [mae_pct] => -0.15
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-06-20T23:36:41-04:00
            [end_at] => 2025-06-21T01:36:41-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.000224
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 0.01377000
            [low] => 0.01356600
            [mfe_pct] => 1.62
            [mae_pct] => -0.15
            [mfe_mae_ratio] => 
            [candles_analyzed] => 72
            [start_at] => 2025-06-20T23:36:41-04:00
            [end_at] => 2025-06-21T05:36:41-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.01380200
            [high_after] => 0.01377000
            [low_before] => 0.01348400
            [low_after] => 0.01356600
            [is_new_high] => 
            [is_new_low] => 
        )

)